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1. 发明授权

US11693375B2 Electrical system control for achieving long-term objectives, and related systems, apparatuses, and methods 有权
公开(公告)号：US11693375B2
公开(公告)日：2023-07-04
申请号：US17093300
申请日：2020-11-09
申请人： Enel X North America, Inc.
发明人： Rebecca G. Wolkoff
IPC分类号： G05B13/04 , H02J3/32 , G05B13/02 , G05B15/02 , H02J3/00 , H02J3/30 , H02J3/38
CPC分类号： G05B13/042 , G05B13/0265 , G05B13/048 , G05B15/02 , H02J3/003 , H02J3/004 , H02J3/30 , H02J3/32 , H02J3/322 , H02J3/381 , H02J3/38 , H02J2203/20 , H02J2300/22 , H02J2300/28
摘要： Systems and methods may use a low speed controller in addition to an economic optimizer to achieve long-term objectives without significantly disrupting or destabilizing an electrical system. Specific long-term objectives include maximizing a capacity factor incentive and regulating battery degradation, but the methods and systems herein can be extended to more long-term objectives. A low speed controller can adjust one or more parameters of a cost function based on the relation between the projected state of the electrical system and the one or more parameters to effectuate a change to the electrical system to attempt to comply with the long-term objective.

2. 发明申请

US20220209574A1 ELECTRICAL SYSTEM CONTROL WITH USER INPUT, AND RELATED SYSTEMS, APPARATUSES, AND METHODS 有权
公开(公告)号：US20220209574A1
公开(公告)日：2022-06-30
申请号：US17138563
申请日：2020-12-30
申请人： Enel X North America, Inc.
发明人： John Michael Fife
IPC分类号： H02J13/00 , G06Q10/04 , G05B15/02
摘要： The present disclosure is directed to systems and methods for economically optimal control of an electrical system. Some embodiments include an input device to receive input from a user. The site information may include an indication from the user of a site participation preference for a response event for an aggregation opportunity.

3. 发明申请

US20210116873A1 ELECTRICAL SYSTEM CONTROL FOR ACHIEVING LONG-TERM OBJECTIVES, AND RELATED SYSTEMS, APPARATUSES, AND METHODS 有权
公开(公告)号：US20210116873A1
公开(公告)日：2021-04-22
申请号：US17093300
申请日：2020-11-09
申请人： Enel X North America, Inc.
发明人： Rebecca G. Wolkoff
IPC分类号： G05B13/04 , H02J3/32 , G05B13/02 , G05B15/02
摘要： Systems and methods may use a low speed controller in addition to an economic optimizer to achieve long-term objectives without significantly disrupting or destabilizing an electrical system. Specific long-term objectives include maximizing a capacity factor incentive and regulating battery degradation, but the methods and systems herein can be extended to more long-term objectives. A low speed controller can adjust one or more parameters of a cost function based on the relation between the projected state of the electrical system and the one or more parameters to effectuate a change to the electrical system to attempt to comply with the long-term objective.

4. 发明申请

US20210070186A1 SYSTEMS AND METHODS FOR ENABLING AUTOMATIC MANAGEMENT OF POWER LOADS AND POWER GENERATION BASED ON USER-SPECIFIED SET OF RULES 有权
公开(公告)号：US20210070186A1
公开(公告)日：2021-03-11
申请号：US16951548
申请日：2020-11-18
申请人： Enel X North America, Inc.
发明人： Valery Miftakhov , Alexander Gurzhi , Alan White
IPC分类号： B60L53/30 , B60L53/68 , B60L53/51 , B60L53/52 , B60L53/66 , B60L53/63 , B60L53/65
摘要： Systems and methods for enabling automatic management of arbitrary power loads and power generation based on user-specified set of rules. The aforesaid rules may be applied based on the grid conditions, parameters of specific grid equipment, as well as any other (external) factors. In various embodiments, the aforesaid user-specified rules may be automatically executed by one or more servers in response to sensed grid conditions and arbitrary external factors. In various embodiments, the aforesaid rules may cause execution of local site functions, such as powering down specific load that may help stabilize the wider power grid. In one or more embodiments, the rules may be executed on a central server or on EVSE nodes in a decentralized manner using, for example, blockchain technology well-known to persons of ordinary skill in the art.

5. 发明申请

US20200343724A1 SYSTEM FOR BROWN OUT MITIGATION 审中-公开
公开(公告)号：US20200343724A1
公开(公告)日：2020-10-29
申请号：US16924476
申请日：2020-07-09
申请人： ENEL X NORTH AMERICA, INC.
发明人： Husain Al-Mohssen , Angela S. Bassa , Richard R. Paradis
IPC分类号： H02J3/00 , G05B13/02
摘要： A method for predicting when energy consumption will exceed normal production capacity for buildings including generating data sets for each of the buildings, where energy consumption values within each set are shifted by one of a plurality of lag values relative to time and temperature values, and where each lag value is different; performing a regression model analysis on each set to yield corresponding regression model parameters and a corresponding residual; determining a least valued residual indicating a corresponding energy lag for each of the buildings; using outside temperatures, regression model parameters, and energy lags for all of the buildings to estimate a cumulative energy consumption for the buildings, and to predict the time when energy consumption will exceed normal production capacity; and receiving the time when energy consumption will exceed normal production capacity, and preparing and commencing exceptional measures required to manage the energy consumption.

6. 发明授权

US10795393B2 Energy management based on estimated resource utilization 有权
公开(公告)号：US10795393B2
公开(公告)日：2020-10-06
申请号：US16248129
申请日：2019-01-15
申请人： Enel X North America, Inc.
发明人： Husain Al-Mohssen , Elizabeth J. Main , Angela S. Bassa
IPC分类号： G05F1/66 , G05B13/04
摘要： An apparatus for controlling consumption of a resource by a facility includes devices, an occupancy determination system, and control nodes. The devices each consume a portion of the resource and perform a function. The occupancy determination system is disposed in a network operations center that is external to the facility and generates schedules which coordinate run times for the devices to control the consumption of the resource and adjusts the schedules based upon occupancy components and occupancy levels that are generated based on the consumption of the resource and outside temperature only. The control nodes are coupled to a corresponding one of the devices, and are coupled together via an energy management network that is operatively coupled to the NOC, The control nodes transmit sensor data and device status to the NOC for generation of the plurality of run time schedules, and where the control nodes execute selected ones of the run time schedules to cycle the devices on and off.

7. 发明授权

US10700520B2 Method and apparatus for automated building energy control 有权
公开(公告)号：US10700520B2
公开(公告)日：2020-06-30
申请号：US16184420
申请日：2018-11-08
申请人： ENEL X NORTH AMERICA, INC.
发明人： Elizabeth J. Main , Wendy Chen
IPC分类号： G05B13/04 , H02J3/00 , G06Q10/06 , G06Q50/06 , G06Q10/00
摘要： An energy control system includes training data stores, a facility model processor, a post VEE readings data stores, a VEE configuration engine, and a global model module. The facility model processor employs interval based energy consumption streams corresponding to a facility to develop and maintain weather-normalized baseline energy consumption data for the facility. The post VEE readings data stores tagged energy consumption data sets that are each associated with a corresponding one of said interval based energy consumption streams, each of said tagged energy consumption data sets comprising groups of contiguous interval values tagged as having been validated, wherein said groups correspond to correct data. The VEE configuration engine reads the post VEE readings data stores upon initiation of an event and, for the each of the tagged energy consumption data sets, creates anomalies having different durations using only the groups of contiguous interval values, and generates estimates for the anomalies by employing estimation techniques and, for each of the different durations, selects one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the interval based energy consumption streams. The global model module receives the weather-normalized baseline energy consumption data and post VEE readings data, and develops an energy consumption model based on the weather-normalized baseline energy consumption data and the post VEE readings data, and controls overall energy consumption within the facility based on the energy consumption model by scheduling run times of one or more building elements.

8. 发明申请

US20200153243A1 AUTOMATED PROCESSOR FOR VALIDATION, ESTIMATION, AND EDITING 审中-公开
公开(公告)号：US20200153243A1
公开(公告)日：2020-05-14
申请号：US16735269
申请日：2020-01-06
申请人： ENEL X NORTH AMERICA, INC.
发明人： Elizabeth J. Main , Wendy Chen
IPC分类号： H02J3/00 , G06Q50/06 , G06Q10/04
摘要： An apparatus is provided for performing validation, estimation, and editing (VEE) on interval based energy consumption streams. The apparatus includes a VEE processor and a VEE configuration engine. The VEE processor executes VEE rules on each of the interval based energy consumption streams within a specified time period to generate and store corresponding post VEE readings that are stored in a post VEE readings data stores. The post VEE readings include tagged energy consumption data sets that are each associated with a corresponding one of the interval based energy consumption streams. Each of the tagged energy consumption data sets has groups of contiguous interval values tagged as having been validated. The VEE configuration engine reads the post VEE readings upon initiation of an event and, for the each of the tagged energy consumption data sets, creates anomalies having a plurality of different durations using only the groups of contiguous interval values, and generates estimates for the anomalies by employing estimation techniques and, for each of the different durations, selects one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the p interval based energy consumption streams.

9. 发明申请

US20200005208A1 MACHINE LEARNING OF ELECTRICAL SYSTEM BEHAVIOR, AND RELATED SYSTEMS, APPARATUSES, AND METHODS 审中-公开
公开(公告)号：US20200005208A1
公开(公告)日：2020-01-02
申请号：US16565214
申请日：2019-09-09
申请人： Enel X North America, Inc.
发明人： John Michael Fife
IPC分类号： G06Q10/06 , G01R31/367 , G01R31/392 , H02J3/28 , H02J3/46 , H02J13/00 , G05B13/02 , G06Q50/06 , H02J3/14 , G05B17/02 , H02J7/00 , G05B13/04 , G05F1/66 , H02J3/00
摘要： The present disclosure is directed to machine learning of electrical power system behavior, and related systems, apparatuses, and methods. A controller of an electrical power system includes a data storage device configured to store model data indicating a model load power consumed by loads of the electrical power system. The controller also includes a processor configured to determine current data including current load power consumed by the loads, modify the model data by aggregating the model data with the current data, and determine a set of control values for a set of control variables to effectuate a change to operation of the electrical power system based, at least in part, on the model data.

10. 发明申请

US20190340555A1 TWO-STAGE CONTROL SYSTEMS AND METHODS FOR ECONOMICAL OPTIMIZATION OF AN ELECTRICAL SYSTEM 审中-公开
公开(公告)号：US20190340555A1
公开(公告)日：2019-11-07
申请号：US16517428
申请日：2019-07-19
申请人： Enel X North America, Inc.
发明人： John Michael Fife
IPC分类号： G06Q10/06 , G01R31/392 , H02J7/00 , G01R31/367 , H02J3/00 , H02J13/00 , G05B13/02 , G06Q50/06 , H02J3/14 , G05B17/02 , H02J3/46 , H02J3/28 , G05B13/04 , G05F1/66
摘要： The present disclosure is directed to systems and methods for economically optimal control of an electrical system. Some embodiments employ generalized multivariable constrained continuous optimization techniques to determine an optimal control sequence over a future time domain in the presence of any number of costs, savings opportunities (value streams), and constraints. Some embodiments also include control methods that enable infrequent recalculation of the optimal setpoints. Some embodiments may include a battery degradation model that, working in conjunction with the economic optimizer, enables the most economical use of any type of battery. Some embodiments include techniques for load and generation learning and prediction. Some embodiments include consideration of external data, such as weather.

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